FRTN05
Backlash and Quantization
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2023 HT/Autumn
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Backlash and Quantization

  • Due No due date
  • Points 0

This lecture is about two other important non-linear effects that commonly occur in applications, namely backlash and quantization. After this lecture, you should 

  • be able to use basic models and compensation methods for backlash
  • be able to analyze the effect of quantization errors

Lecture slides that support the video material can be downloaded here: lec08.pdf

Backlash models

 

Backlash analysis

 

Backlash compensation

 

Quantization analysis

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Total points: 5 out of 5